59% of Georgia Teachers Now Use AI for Lesson Planning

Nearly six in ten Georgia teachers now use artificial intelligence for classroom instruction or preparation, according to a state audit released in June 2026, marking a significant shift in how educators approach their work.

The Georgia Department of Audits and Accounts surveyed more than 13,000 teachers statewide and found that 59% reported using generative AI for teaching tasks. The technology has become particularly prevalent in lesson preparation, with 95% of surveyed teachers using AI for instructional planning at least a few times per year. More than half use it weekly.

How teachers are deploying AI

Educators reported the strongest adoption for behind-the-scenes work rather than direct student interaction. Teachers showed the most hesitation around using AI to grade student work, with 62% saying they never use the technology for that purpose.

Venecia Whyte-Foster, a middle school English teacher in Savannah-Chatham County, described herself as an early adopter who immediately recognized AI's staying power. She has developed personalized chatbots that transform classroom concepts into escape room-style games, where students must demonstrate understanding to progress through levels.

Among teachers who use AI, nearly 90% reported positive impacts on their classrooms. Majorities cited time savings, improved lesson materials, and increased student participation as benefits.

The concerns driving non-adoption

Teachers who avoid AI expressed worries about student dependency, potential damage to critical thinking skills, and academic dishonesty. Data privacy, accuracy issues, and broader ethical concerns also factored into their reluctance.

Xiaoming Zhai, an associate professor at the University of Georgia who directs the AI4STEM Education Center, acknowledged these concerns but urged teachers to remain open-minded. He emphasized that students will encounter AI in their future careers regardless of whether their teachers use it now.

Student use creates new challenges

The audit revealed a clear age gradient in student AI adoption. Elementary teachers reported minimal student use, while a majority of high school teachers said their students use AI on assignments at least half the time.

Interestingly, teachers whose students used AI were more likely to report negative learning impacts. A majority of middle and high school teachers said AI had a somewhat or very negative effect on student learning.

To manage student AI use, more than half of surveyed teachers now require in-class work or writing. Half have worked to clearly define what constitutes AI abuse and cheating, while 43% use detection software to identify AI-generated assignments.

Whyte-Foster teaches students about AI hallucinations and the importance of verification. When she catches AI-generated work, she discusses academic integrity with the student and offers a chance to redo the assignment for reduced credit.

Training gaps persist

About two-thirds of teachers reported receiving guidance on AI use, and 70% said they had received training. However, 27% received neither. Responses varied inconsistently within districts, suggesting either gaps in awareness of available resources or uneven distribution of training. Teachers in high-poverty districts were more likely to report receiving no guidance or training.

The Georgia Department of Education appointed an AI ethics and impact officer in January 2025 and released best practices guidance. State School Superintendent Richard Woods, a Republican running for re-election, emphasized that AI should function as a tool rather than a replacement for teacher expertise or student critical thinking.

Why it matters

This data provides the first comprehensive look at how AI is reshaping K-12 education in a major state. The disconnect between teacher adoption rates and concerns about student use highlights a tension that school systems nationwide will need to address: educators are embracing AI for efficiency while simultaneously worrying about its impact on learning outcomes. The training gaps, particularly in high-poverty districts, suggest that AI adoption could exacerbate existing educational inequities without intentional intervention.

These findings were first reported by Ross Williams at the Georgia Recorder, based on the state audit released in June 2026.